Stochastic simulation of shipbuilding assembly process based on discrete event

초록

In shipbuilding industry, capacity plan plays an important role for both master production schedule and facility design. Therefore the productivity estimation plays an important role not only for master production plan but also for facility or layout design. The production plan has to consider the capacity of facilities and deliverability of the mixed-product. However in the early stages of production scheduling shipyard, it is difficult to assess the validity of productivity and schedule, because of uncertain factors such as weather. In additional, it is difficult to predict the effect of the variation of mixed-product and the changes in product volume on the workload and schedule. Because the flow of material depends on the unstructured routing, the stochastic approach is needed for the prediction of production schedule on the basis of product volume, process and schedule. Product work breakdown structure attributes of product resources, and production method or process data should be combined in order to estimate the capacity or facility plan. In this paper, we have defined shipyard components based on PPRS (Product, Process, Resource and Schedule) model. We show how to modularize each process stage and predict the workload based on variation in shipbuilding master production plan and product schedules. Each process module operates as a queuing system and uses a probability distribution. We evaluate a virtual shipbuilding process based on stochastic simulation model by considering the uncertain factors. The simulation model is defined by ARENA™ developed by Rockwell Automation and uses the SIMAN simulation language.